@Reference(authors="E. B. Fowlkes, C. L. Mallows", title="A method for comparing two hierarchical clusterings", booktitle="Journal of the American Statistical Association, Vol. 78 Issue 383", url="https://doi.org/10.2307/2288117", bibkey="doi:10.2307/2288117") public class ClusteringFowlkesMallowsSimilarityFunction extends java.lang.Object implements ClusteringDistanceSimilarityFunction, NormalizedSimilarityFunction<Clustering<?>>
Reference:
E. B. Fowlkes, C. L. Mallows
A method for comparing two hierarchical clusterings
In: Journal of the American Statistical Association, Vol. 78 Issue 383
| Modifier and Type | Class and Description |
|---|---|
static class |
ClusteringFowlkesMallowsSimilarityFunction.Parameterizer
Parameterization class.
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| Modifier and Type | Field and Description |
|---|---|
static ClusteringFowlkesMallowsSimilarityFunction |
STATIC
Static instance.
|
| Constructor and Description |
|---|
ClusteringFowlkesMallowsSimilarityFunction()
Constructor - use the static instance
STATIC! |
| Modifier and Type | Method and Description |
|---|---|
double |
distance(Clustering<?> o1,
Clustering<?> o2)
Computes the distance between two given DatabaseObjects according to this
distance function.
|
SimpleTypeInformation<? super Clustering<?>> |
getInputTypeRestriction()
Get the input data type of the function.
|
<T extends Clustering<?>> |
instantiate(Relation<T> relation)
Instantiate with a representation to get the actual similarity query.
|
boolean |
isMetric()
Is this distance function metric (satisfy the triangle inequality)
|
double |
similarity(Clustering<?> o1,
Clustering<?> o2)
Computes the similarity between two given DatabaseObjects according to this
similarity function.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitisSymmetricisSquaredpublic static final ClusteringFowlkesMallowsSimilarityFunction STATIC
public ClusteringFowlkesMallowsSimilarityFunction()
STATIC!public double similarity(Clustering<?> o1, Clustering<?> o2)
PrimitiveSimilarityFunctionsimilarity in interface PrimitiveSimilarityFunction<Clustering<?>>o1 - first DatabaseObjecto2 - second DatabaseObjectpublic double distance(Clustering<?> o1, Clustering<?> o2)
PrimitiveDistanceFunctiondistance in interface PrimitiveDistanceFunction<Clustering<?>>o1 - first DatabaseObjecto2 - second DatabaseObjectpublic boolean isMetric()
DistanceFunctionisMetric in interface DistanceFunction<Clustering<?>>true when metric.public <T extends Clustering<?>> DistanceSimilarityQuery<T> instantiate(Relation<T> relation)
SimilarityFunctioninstantiate in interface DistanceFunction<Clustering<?>>instantiate in interface PrimitiveDistanceFunction<Clustering<?>>instantiate in interface ClusteringDistanceSimilarityFunctioninstantiate in interface PrimitiveSimilarityFunction<Clustering<?>>instantiate in interface SimilarityFunction<Clustering<?>>relation - Representation to usepublic SimpleTypeInformation<? super Clustering<?>> getInputTypeRestriction()
SimilarityFunctiongetInputTypeRestriction in interface DistanceFunction<Clustering<?>>getInputTypeRestriction in interface PrimitiveDistanceFunction<Clustering<?>>getInputTypeRestriction in interface SimilarityFunction<Clustering<?>>Copyright © 2019 ELKI Development Team. License information.